MastercardAI Consulting Project Manager (Fluent in German)
Mastercard is hiring an AI Consulting Project Manager (Fluent in German) for a remote role open to applicants in Austria. Level rates it ; you can apply on Level.
AI in this role
Lead AI consulting projects and advise C-level clients on generative and agentic AI strategy and implementation.
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
AI Managing Consultant (Fluent in German)Our purposeMastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Advisors & Consulting Services
Within Mastercard Advisors & Consulting Services in Strategy & Transformation, we are building a dedicated AI-native consulting profile – combining the rigor of top-tier strategy consulting with deep, hands-on expertise in Generative and Agentic AI. This profile is designed to translate frontier AI capabilities (LLMs, agents, RAG, MLOps) into measurable client outcomes across payments, banking, and commerce – bridging boardroom strategy and engineering execution.
Roles and Responsibilities
Impact You Generate
• Lead AI delivery and act as the client-facing AI subject-matter expert – translating business problems into AI/agentic solution architectures (e.g. LLM selection, RAG vs. fine-tuning, agent orchestration, agentic framework selection, context engineering, loop engineering) and pressure-testing feasibility, ROI, and Responsible-AI guardrails
• Advise C-level stakeholders on AI strategy, operating-model design, data & tech foundations, talent implications, and governance
What You’ll Do
• Contribute to AI strategy and program development for regional and international clients, applying AI, data, and technology solutions to create measurable client value with your project teams
• Independently structure your projects, conduct and oversee required analyses and synthesize project findings as well as take ownership and lead internal and client meetings
• Champion an experimentation and prototyping mindset — encourage rapid build–test–learn cycles (notebooks, prompt engineering, agent demos) instead of slide-only deliverables.
• Embed Responsible AI principles (bias, explainability, data privacy, model risk) into every engagement and coach the team on Mastercard's AI processes & policies
How We Work
• We work in interdisciplinary teams that connect business intent with technical execution on the ground, not in siloed hand-offs between strategy and engineering.
• We contribute to Mastercard's AI intellectual capital — reusable accelerators, agent blueprints, prompt libraries, and internal upskilling of the broader consulting team.
• We expect ownership and an ambitious, extra-mile mindset, acting as a role model for the project team.
Qualifications
Basic qualifications
• Quantitative degree (Computer Science, Data Science, Engineering, Mathematics, Physics) combined with business acumen
• Five years of full-time experience in a fast-paced strategy, management consulting, corporate strategy, or business intelligence role
• Strong hands-on experience building and deploying applications based on RAG architectures, task-specific copilots or multi-step reasoning systems (e.g., LangChain/LangGraph), and spec-driven development; hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch) is a plus, not a requirement
• Working fluency in Python and the data/ML ecosystem (pandas, SQL, notebooks); familiarity with cloud AI platforms (Azure AI Foundry, Databricks, AWS Bedrock, or GCP Vertex) and MLOps concepts
• Ambitious and result-oriented individual seeking to grow your career in an international setup
• Strong analytical skills to frame complex business problems, translate them into AI-enabled solution opportunities, and guide project teams toward practical, data-driven outcomes
• Proven ability to translate between business stakeholders and technical teams — i.e., “AI translator” capability combined with high empathy and senior stakeholder management.
• Eligibility to work in the country specified for this job posting
• Ability to travel to client sites, both nationally and internationally, on a semi-regular basis; business fluency in English and German
Preferred qualifications
• Background blending top-tier strategy consulting (e.g., MBB) with an applied AI/analytics unit — or equivalent industry experience as an AI product lead
• Track record of delivering at least one AI/ML or GenAI use case from concept to production impact, ideally in financial services, payments, or commerce
• Experience designing AI operating models, agentic workflows, or Center-of-Excellence setups for large enterprises
• Strong storytelling and executive-communication skills — able to switch between a technical deep-dive with engineers and a CEO-level narrative
• Ambitious mindset with willingness to go the extra mile acting as a role model for your project team
Tech Stack
Python, LLM, Agent Orchestration, RAG, Vector DBs, MCP servers, Skills & Harnesses, Context Management, Loop Engineering, CI/CD, Observability, Docker, Azure/AWS/GCP
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
How we rate this
AI Consulting Project Manager (Fluent in German) at Mastercard rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- How do you monitor a model once it's live, and how do you know it needs retraining?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, AI agents, Fine-tuning, and ML Ops. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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